Literature DB >> 25920954

Early identification of individuals at high risk for cerebral infarction after aneurysmal subarachnoid hemorrhage: the BEHAVIOR score.

Ramazan Jabbarli1,2, Matthias Reinhard3, Roland Roelz1, Mukesch Shah1, Wolf-Dirk Niesen3, Klaus Kaier4, Christian Taschner5, Astrid Weyerbrock1, Vera Van Velthoven1.   

Abstract

Cerebral infarction (CI) is a crucial complication of aneurysmal subarachnoid hemorrhage (SAH) associated with poor clinical outcome. We aimed at developing an early risk score for CI based on clinical characteristics available at the onset of SAH. Out of a database containing 632 consecutive patients with SAH admitted to our institution from January 2005 to December 2012, computed tomography (CT) scans up to day 42 after ictus were evaluated for CIs. Different parameters from admission up to aneurysm treatment were collected with subsequent construction of a risk score. Seven clinical characteristics were independently associated with CI and included in the Risk score (BEHAVIOR Score, 0 to 11 points): Blood on CT scan according to Fisher grade ⩾3 (1 point), Elderly patients (age ⩾55 years, 1 point), Hunt&Hess grade ⩾4 (1 point), Acute hydrocephalus requiring external liquor drainage (1 point), Vasospasm on initial angiogram (3 points), Intracranial pressure elevation >20 mm Hg (3 points), and treatment of multiple aneurysms ('Overtreatment', 1 point). The BEHAVIOR score showed high diagnostic accuracy with respect to the absolute risk for CI (area under curve=0.806, P<0.0001) and prediction of poor clinical outcome at discharge (P<0.0001) and after 6 months (P=0.0002). Further validation in other SAH cohorts is recommended.

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Year:  2015        PMID: 25920954      PMCID: PMC4640318          DOI: 10.1038/jcbfm.2015.81

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  40 in total

Review 1.  Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker.

Authors:  Karel G M Moons; Andre Pascal Kengne; Mark Woodward; Patrick Royston; Yvonne Vergouwe; Douglas G Altman; Diederick E Grobbee
Journal:  Heart       Date:  2012-03-07       Impact factor: 5.994

2.  Interobserver agreement for the assessment of handicap in stroke patients.

Authors:  J C van Swieten; P J Koudstaal; M C Visser; H J Schouten; J van Gijn
Journal:  Stroke       Date:  1988-05       Impact factor: 7.914

3.  Surgical risk as related to time of intervention in the repair of intracranial aneurysms.

Authors:  W E Hunt; R M Hess
Journal:  J Neurosurg       Date:  1968-01       Impact factor: 5.115

4.  C-reactive protein as predictor for poor outcome after aneurysmal subarachnoid haemorrhage.

Authors:  Seppo Juvela; Johanna Kuhmonen; Jari Siironen
Journal:  Acta Neurochir (Wien)       Date:  2011-12-03       Impact factor: 2.216

Review 5.  Delayed cerebral ischaemia after subarachnoid haemorrhage: looking beyond vasospasm.

Authors:  M J Rowland; G Hadjipavlou; M Kelly; J Westbrook; K T S Pattinson
Journal:  Br J Anaesth       Date:  2012-09       Impact factor: 9.166

6.  Computed tomographic diagnosis of intraventricular hemorrhage. Etiology and prognosis.

Authors:  D A Graeb; W D Robertson; J S Lapointe; R A Nugent; P B Harrison
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

7.  The relationship between delayed infarcts and angiographic vasospasm after aneurysmal subarachnoid hemorrhage.

Authors:  Robert J Brown; Abhay Kumar; Rajat Dhar; Tomoko R Sampson; Michael N Diringer
Journal:  Neurosurgery       Date:  2013-05       Impact factor: 4.654

8.  Relation of cerebral vasospasm to subarachnoid hemorrhage visualized by computerized tomographic scanning.

Authors:  C M Fisher; J P Kistler; J M Davis
Journal:  Neurosurgery       Date:  1980-01       Impact factor: 4.654

9.  Prediction of angiographic vasospasm after aneurysmal subarachnoid hemorrhage: value of the Hijdra sum scoring system.

Authors:  Stefan A Dupont; Eelco F M Wijdicks; Edward M Manno; Giuseppe Lanzino; Alejandro A Rabinstein
Journal:  Neurocrit Care       Date:  2009-07-30       Impact factor: 3.210

10.  Classification of cerebral infarction after subarachnoid hemorrhage impacts outcome.

Authors:  Andrew M Naidech; Bernard R Bendok; Sarice L Bassin; Richard A Bernstein; H Hunt Batjer; Thomas P Bleck
Journal:  Neurosurgery       Date:  2009-06       Impact factor: 4.654

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  12 in total

1.  Extracellular Mitochondria in Cerebrospinal Fluid and Neurological Recovery After Subarachnoid Hemorrhage.

Authors:  Sherry H-Y Chou; Jing Lan; Elga Esposito; MingMing Ning; Leonora Balaj; Xunming Ji; Eng H Lo; Kazuhide Hayakawa
Journal:  Stroke       Date:  2017-06-29       Impact factor: 7.914

2.  Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.

Authors:  Azade Tabaie; Shamim Nemati; Jason W Allen; Charlotte Chung; Flavia Queiroga; Won-Jun Kuk; Adam B Prater
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

3.  Intracortical electrophysiological correlates of blood flow after severe SAH: A multimodality monitoring study.

Authors:  Brandon Foreman; David Albers; J Michael Schmidt; Cristina Maria Falo; Angela Velasquez; E Sander Connolly; Jan Claassen
Journal:  J Cereb Blood Flow Metab       Date:  2017-04-07       Impact factor: 6.200

Review 4.  Sex Differences in the Formation of Intracranial Aneurysms and Incidence and Outcome of Subarachnoid Hemorrhage: Review of Experimental and Human Studies.

Authors:  Nefize Turan; Robert Allen-James Heider; Dobromira Zaharieva; Faiz U Ahmad; Daniel L Barrow; Gustavo Pradilla
Journal:  Transl Stroke Res       Date:  2015-11-16       Impact factor: 6.829

5.  Identification of specific age groups with a high risk for developing cerebral vasospasm after aneurysmal subarachnoid hemorrhage.

Authors:  Vesna Malinova; Bawarjan Schatlo; Martin Voit; Patricia Suntheim; Veit Rohde; Dorothee Mielke
Journal:  Neurosurg Rev       Date:  2016-03-04       Impact factor: 3.042

6.  Symptomatic and silent cerebral infarction following surgical clipping of unruptured intracranial aneurysms: incidence, risk factors, and clinical outcome.

Authors:  Maogui Li; Jun Wu; Xin Chen; Pengjun Jiang; Fan Yang; Yonggang Ma; Zhengsong Li; Yong Cao; Shuo Wang
Journal:  Neurosurg Rev       Date:  2017-10-05       Impact factor: 3.042

7.  Delayed cerebral ischemia after subarachnoid hemorrhage: Comparing and integrating classification systems.

Authors:  Pieter L Kubben; Menno R Germans; Ramazan Jabbarli
Journal:  Surg Neurol Int       Date:  2017-06-21

8.  Clinical significance and efficacy analysis of atorvastatin in the treatment of patients with cerebral infarction and aspiration pneumonia.

Authors:  Bing Wei; Yugeng Liu
Journal:  Exp Ther Med       Date:  2018-10-04       Impact factor: 2.447

9.  New risk score of the early period after spontaneous subarachnoid hemorrhage: For the prediction of delayed cerebral ischemia.

Authors:  Yuan-Jian Fang; Shu-Hao Mei; Jia-Nan Lu; Yi-Ke Chen; Zhao-Hui Chai; Xiao Dong; Camila Araujo; Cesar Reis; Jian-Min Zhang; Sheng Chen
Journal:  CNS Neurosci Ther       Date:  2019-08-12       Impact factor: 5.243

10.  Prognosis Predicting Score for Endovascular Treatment of Aneurysmal Subarachnoid Hemorrhage: A Risk Modeling Study for Individual Elderly Patients.

Authors:  Guoli Duan; Pengfei Yang; Qiang Li; Qiao Zuo; Lei Zhang; Bo Hong; Yi Xu; Wenyuan Zhao; Jianmin Liu; Qinghai Huang
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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